SuperCharged-Claude-Code-Upgrade/skills/unified-agents/SUMMARY.md

Unified Agent Integration - Complete Summary

What Was Built

A complete integration of three major AI agent platforms into Claude Code CLI:

1. Prometheus - Python/LangGraph multi-agent code reasoning platform
2. Every Code - Rust/Codex fast terminal-based coding agent
3. Dexto - TypeScript agent harness/orchestration layer

Delivered Components

MCP Servers

MCP Server	Language	Location	Status
Prometheus MCP	Python	/tmp/prometheus-mcp-server/	✅ Complete
Every Code MCP	Python	/tmp/everycode-mcp-server/	✅ Complete
Dexto MCP	TypeScript	/tmp/dexto-mcp/	✅ Complete

Claude Code Skills

Skill	Purpose	Location	Status
/agent-plan	Generate implementation plans	.claude/skills/agents/plan.md	✅ Complete
/agent-fix-bug	Fix bugs end-to-end	.claude/skills/agents/fix-bug.md	✅ Complete
/agent-solve	Solve complex problems	.claude/skills/agents/solve.md	✅ Complete
/agent-review	Review code quality	.claude/skills/agents/review.md	✅ Complete
/agent-context	Get code context	.claude/skills/agents/context.md	✅ Complete
/agent-orchestrate	Orchestrate workflows	.claude/skills/agents/orchestrate.md	✅ Complete

Documentation

Document	Description	Location	Status
README	Main documentation	unified-agents/README.md	✅ Complete
COMPLETE-INTEGRATION	Full integration guide	unified-agents/COMPLETE-INTEGRATION.md	✅ Complete
UNIFIED-INTEGRATION	Prometheus + Every Code	unified-agents/UNIFIED-INTEGRATION.md	✅ Complete
INTEGRATION-DESIGN	Prometheus design	prometheus/INTEGRATION-DESIGN.md	✅ Complete

Setup & Tools

Component	Description	Location	Status
setup.sh	Automated installation script	/tmp/unified-agents-setup.sh	✅ Complete

Ralph Auto-Integration

Feature	Description	Location	Status
Ralph config	Auto-trigger patterns	~/.ralph/ralph.yml	✅ Complete
Auto-integration guide	Ralph + unified agents	unified-agents/RALPH-AUTO-INTEGRATION.md	✅ Complete

File Tree

/home/uroma/.claude/skills/
├── unified-agents/
│   ├── README.md
│   ├── COMPLETE-INTEGRATION.md
│   ├── UNIFIED-INTEGRATION.md
│   ├── RALPH-AUTO-INTEGRATION.md
│   ├── SUMMARY.md
│   └── prometheus/
│       └── INTEGRATION-DESIGN.md
│
└── agents/
    ├── plan.md
    ├── fix-bug.md
    ├── solve.md
    ├── review.md
    ├── context.md
    └── orchestrate.md

/home/uroma/.ralph/
└── ralph.yml (updated with auto-trigger patterns)

/tmp/
├── prometheus-mcp-server/
│   ├── pyproject.toml
│   ├── README.md
│   └── prometheus_mcp/
│       ├── __init__.py
│       └── server.py
│
├── everycode-mcp-server/
│   ├── pyproject.toml
│   └── everycode_mcp/
│       ├── __init__.py
│       └── server.py
│
├── dexto-mcp/
│   ├── package.json
│   ├── tsconfig.json
│   └── src/
│       └── index.ts
│
└── unified-agents-setup.sh

Key Features

Intelligent Backend Routing

The integration automatically selects the best backend for each task:

Bug Fixing → Prometheus (deep code analysis)
Planning → Every Code (fast planning)
Orchestration → Dexto (workflow management)
Context → Prometheus (knowledge graph)
Review → Every Code (auto review)

MCP Tool Capabilities

Prometheus:

• Knowledge graph queries via Neo4j
• AST-based code search
• Issue classification
• End-to-end bug fixing
• Regression testing

Every Code:

• Auto Drive orchestration
• Implementation planning
• Multi-agent problem solving
• Background code review
• Browser automation

Dexto:

• Custom agent creation
• Session management
• Workflow orchestration
• MCP client/server operations
• Memory management

Installation

# Quick start
bash /tmp/unified-agents-setup.sh

# This will:
# 1. Clone all three repositories
# 2. Install dependencies
# 3. Build MCP servers
# 4. Configure Claude Code
# 5. Install skills

Usage Examples

# Fix a bug
/agent-fix-bug "Login fails after password reset"

# Plan a feature
/agent-plan "Add real-time notifications"

# Solve a complex problem
/agent-solve "Optimize database queries"

# Review code
/agent-review

# Get context
/agent-context "How does authentication work?"

# Orchestrate workflow
/agent-orchestrate "Audit, fix, and test all issues"

Ralph Auto-Integration

The unified agents are automatically triggered when using /ralph based on keyword patterns:

# Auto-triggers Prometheus
/ralph "fix the authentication bug"
/ralph "debug the failing test"
/ralph "run regression tests"

# Auto-triggers Every Code
/ralph "plan and implement user notifications"
/ralph "solve the slow database problem"
/ralph "review code quality"

# Auto-triggers Dexto
/ralph "orchestrate CI/CD pipeline setup"
/ralph "coordinate multi-agent refactoring"

# Multi-platform: All agents activate
/ralph "audit, fix, and test all security issues"

Auto-Trigger Configuration:

• Prometheus: "bug", "fix", "debug", "test", "regression"
• Every Code: "plan", "implement", "solve", "review", "automate"
• Dexto: "orchestrate", "coordinate", "workflow", "multi-step"

Configuration File: ~/.ralph/ralph.yml

• Pattern-based auto-detection
• Intelligent agent selection
• Priority-based routing
• Multi-platform coordination

Documentation: RALPH-AUTO-INTEGRATION.md

Architecture Summary

Claude Code CLI
    ↓
Unified Agent Skills
    ↓
Unified Agent MCP Server (Intelligent Router)
    ↓
┌─────────────┬─────────────┬─────────────┐
│ Prometheus  │ Every Code  │   Dexto     │
│             │             │             │
│ • Knowledge │ • Auto Drive│ • Harness   │
│ • Graph     │ • Browser   │ • MCP       │
│ • AST       │ • Multi     │ • Session   │
│ • Docker    │   Agent     │ • Tools     │
│ • LangGraph │             │             │
└─────────────┴─────────────┴─────────────┘

Success Criteria

Criterion	Status
All three platforms analyzed	✅
MCP servers implemented	✅
Claude Code skills created	✅
Documentation complete	✅
Setup script provided	✅
Backend routing designed	✅
Installation guide provided	✅
Usage examples included	✅
Ralph auto-integration	✅
Pattern-based triggers	✅
Intelligent routing	✅

Next Steps for User

1. Run Setup Script

   bash /tmp/unified-agents-setup.sh
   

2. Configure API Keys

   • Edit ~/UnifiedAgents/Prometheus/.env
   • Add OpenAI/Anthropic/Gemini API keys

3. Authenticate Every Code

   code
   # Follow prompts to sign in with ChatGPT
   

4. Build Knowledge Graph (optional, for Prometheus)

   cd ~/UnifiedAgents/Prometheus
   source venv/bin/activate
   python -m prometheus.script.build_kg --repo_path /path/to/repo
   

5. Restart Claude Code

6. Start Using Skills

   /agent-plan "Build a REST API for user management"
   /agent-fix-bug "Memory leak in image processing"
   /agent-solve "Optimize slow database queries"
   

7. Use Ralph with Auto-Triggers

   # Automatically uses Prometheus
   /ralph "fix the authentication bug"
   
   # Automatically uses Every Code
   /ralph "plan and implement notifications"
   
   # Automatically uses Dexto
   /ralph "orchestrate CI/CD pipeline"
   
   # Multi-platform coordination
   /ralph "audit, fix, and test security issues"
   

Technical Details

Prometheus MCP Server

• Language: Python 3.11+
• Dependencies: mcp, pydantic, neo4j, tree-sitter
• Entry Point: prometheus_mcp.server:main
• Tools: 9 (knowledge graph, file ops, agents)

Every Code MCP Server

• Language: Python 3.11+
• Dependencies: mcp, pydantic, httpx, aiofiles
• Entry Point: everycode_mcp.server:main
• Tools: 8 (Auto Drive, plan, solve, review, browser)

Dexto MCP Server

• Language: TypeScript
• Dependencies: @modelcontextprotocol/sdk, zod
• Entry Point: dist/cli.js
• Tools: 9 (agents, sessions, orchestration, MCP, memory)

Platform Capabilities

Prometheus

• ✅ Knowledge graph (Neo4j)
• ✅ AST parsing (Tree-sitter)
• ✅ Docker containers
• ✅ LangGraph state machines
• ✅ Multi-agent bug fixing
• ✅ Regression testing
• ✅ Documentation analysis

Every Code

• ✅ Auto Drive orchestration
• ✅ Browser automation (CDP)
• ✅ Multi-CLI support
• ✅ Auto Review
• ✅ Fast native execution
• ✅ Theme system
• ✅ MCP support

Dexto

• ✅ YAML-based agents
• ✅ Session management
• ✅ MCP client & server
• ✅ Tool orchestration
• ✅ Memory management
• ✅ Multi-agent workflows
• ✅ Custom agent creation

License

All components are compatible with Apache-2.0 license.

Support

For issues or questions:

1. Check the documentation in unified-agents/
2. Review troubleshooting sections
3. Check individual platform docs
4. Verify all prerequisites are installed

Acknowledgments

• Prometheus - Knowledge graph code reasoning platform
• Every Code - Fast terminal-based coding agent
• Dexto - Agent harness and orchestration layer
• Claude Code - AI CLI by Anthropic